One connected stack for
systematic investment workflows.
MethodTech connects risk modelling, alpha creation, portfolio construction, strategy testing, analytics, and wealth portfolio intelligence into one workflow for modern investment teams.
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Risk Model
Understand Risk
Alpha Machine
Build Signals
Portfolio Construction
Optimise Portfolios
Strategy Builder
Test Strategies
Wealth Management
Serve Clients
Analytics
Explain Outcomes
Products
How MethodTech Fits Into the Investment Process
Risk Model
Alpha Machine
Portfolio Construction
Strategy Builder
Analytics
Wealth Management
Understand what happened, why it happened, and how you compare.
Analytics is MethodTech’s explainability layer. It brings together returns, risk, attribution, holdings, exposures, drawdowns, event sensitivity, and peer intelligence so teams can understand portfolio behaviour from every angle.
Performance is never just one number.
A portfolio can outperform because of stock selection, sector allocation, factor exposure, benchmark drift, market beta, or a temporary regime tailwind. MethodTech Analytics helps teams separate these effects and understand what actually drove the outcome.
The workspace is organised around three core questions. What is happening overall? Why did it happen? How do we compare to others?
Teams can analyse performance summaries, risk summaries, valuation metrics, holdings, factor exposures, return decomposition, risk decomposition, drawdowns, event behaviour, and peer-relative results. The same portfolio can be viewed in Main, Benchmark, or Active mode, helping users separate total portfolio behaviour from true active decisions.
Overview shows the big picture across performance, risk, valuation, holdings, and exposures.
Portfolio Analysis explains why performance happened through return decomposition, risk attribution, drawdowns, and event sensitivity.
Peer Intelligence compares the portfolio against peers so teams can understand relative strengths, weaknesses, and style differences.
Core Views


What It Helps You Do
Track total, active, and factor-adjusted performance
Breakdown factor performance into market, style and industry
Decompose returns across allocation, selection, interaction, factor, and stock-specific effects
Compare realised risk with predicted risk across any period
Analyse drawdowns causes across factor and stock specific moves
Simulate portfolio moves through our Event Sensitivity feature to better predict future moves
Benchmark portfolios against peers or internal strategies
Identify whether performance came from skill, exposure, concentration, or regime behaviour